Statistics for high-dimensional data methods, theory and applications

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical mo...

Полное описание

Библиографические подробности

Главные авторы:	Bühlmann, Peter (Автор), Geer, S. A. van de (Sara A.) (Автор)
Формат:	Electronic Resource
Язык:	English
Опубликовано:	Heidelberg, Germany Springer Berlin 2011
Серии:	Springer series in statistic
Предметы:	Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)
Online-ссылка:	Available for UP System via Springer Link.